Human Factors, 6 credits
Human Factors, 6 hp
769A09
Main field of study
Cognitive ScienceCourse level
Second cycleCourse type
Single subject and programme courseExaminer
Erik PrytzCourse coordinator
Erik PrytzDirector of studies or equivalent
Jalal MalekiAvailable for exchange students
YesCourse offered for | Semester | Weeks | Timetable module | Language | Campus | ECV | |
---|---|---|---|---|---|---|---|
Single subject course (Half-time, Day-time) | Autumn 2019 | 201944-202003 | - | English | Linköping, Valla | ||
F7MKS | Master Programme in Cognitive Science | 1 (Autumn 2019) | 201944-202003 | 1 | Swedish | Linköping, Valla | E |
F7MKS | Master Programme in Cognitive Science | 3 (Autumn 2019) | 201944-202003 | 1 | Swedish | Linköping, Valla | E |
Main field of study
Cognitive ScienceCourse level
Second cycleAdvancement level
A1XCourse offered for
- Master Programme in Cognitive Science
Entry requirements
Bachelor's degree in the field of cognitive science, or Bachelor's degree 180 in main field of computer science or equivalent and approved 30hp courses in one or more of the subjects: psychology, linguistics, philosophy, neuroscience, anthropology or equivalent, or Bachelor's degree in one of the main areas of Psychology or Neuroscience and approved 30hp courses in computer science or equivalent.
Intended learning outcomes
After completion of the course, the student should at an advanced level be able to:
- account for theories and models within the disciplines of Human Factors and Resilience Engineering
- apply methods to analyze human factors in complex systems
- identify, delimit, and analyze a man-machine system from a Human Factors or Resilience Engineering perspective
Course content
The following topics are studied in the course:
- Central theories and models within the Human Factors and Resilience Engineering disciplines that can be used to describe, understand, and analyze human factors in complex systems
- Central concepts related to those disciplines
- Methods to analyze and describe complex systems and the role of humans within such systems
- Current research within the Human Factors discipline.
Teaching and working methods
Teaching methods are lectures, practical exercises, and seminars. The student is expected to read and study independently, either individually or in groups.
Examination
The course is examined through active participation during seminars, completion of practical exercises, and an individual project that includes both written and oral components.
Detailed information can be found in the study guidelines.
Students failing an exam covering either the entire course or part of the course twice are entitled to have a new examiner appointed for the reexamination.
Students who have passed an examination may not retake it in order to improve their grades.
Grades
Three-grade scale, U, G, VGOther information
Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus.
The course is carried out in such a way that both men´s and women´s experience and knowledge is made visible and developed.
Department
Institutionen för datavetenskapCode | Name | Scope | Grading scale |
---|---|---|---|
LAB1 | Laboratory work | 1 credits | U, G |
OBL1 | Mandatory seminars | 2 credits | U, G |
UPG1 | Written presentation | 3 credits | U, G, VG |
Articles
This tab contains public material from the course room in Lisam. The information published here is not legally binding, such material can be found under the other tabs on this page. Click on a file to download and open it.
Name | File name | Description |
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769A09 Kursinformation HT19 | 769A09 Kursinformation HT19.pdf |